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Agronomy
Stephen Klosterman, Eli Melaas, Jonathan A. Wang, Arturo Martinez, Sidni Frederick, John O'Keefe, David A. Orwig, Zhuosen Wang, Qingsong Sun, Crystal Schaaf, Mark Friedl, Andrew D. Richardson
AGRICULTURAL AND FOREST METEOROLOGY
(2018)
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Geochemistry & Geophysics
Terhikki Manninen, Aku Riihela, Andrew Heidinger, Crystal Schaaf, Alessio Lattanzio, Jeffrey Key
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2018)
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Meteorology & Atmospheric Sciences
Guanglin Tang, Ping Yang, George W. Kattawar, Xianglei Huang, Eli J. Mlawer, Bryan A. Baum, Michael D. King
JOURNAL OF THE ATMOSPHERIC SCIENCES
(2018)
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Environmental Sciences
Miguel O. Roman, Zhuosen Wang, Qingsong Sun, Virginia Kalb, Steven D. Miller, Andrew Molthan, Lori Schultz, Jordan Bell, Eleanor C. Stokes, Bhartendu Pandey, Karen C. Seto, Dorothy Hall, Tomohiro Oda, Robert E. Wolfe, Gary Lin, Navid Golpayegani, Sadashiva Devadiga, Carol Davidson, Sudipta Sarkar, Cid Praderas, Jeffrey Schmaltz, Ryan Boller, Joshua Stevens, Olga M. Ramos Gonzalez, Elizabeth Padilla, Jose Alonso, Yasmin Detres, Roy Armstrong, Ismael Miranda, Yasmin Conte, Nitza Marrero, Kytt MacManus, Thomas Esch, Edward J. Masuoka
REMOTE SENSING OF ENVIRONMENT
(2018)
Editorial Material
Biology
F. Mark Danson, Mathias I. Disney, Rachel Gaulton, Crystal Schaaf, Alan Strahler
Review
Biology
D. A. Orwig, P. Boucher, I. Paynter, E. Saenz, Z. Li, C. Schaaf
Article
Environmental Sciences
Ji Hyun Kim, Taehee Hwang, Yun Yang, Crystal L. Schaaf, Emery Boose, J. William Munger
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2018)
Article
Multidisciplinary Sciences
Miguel O. Roman, Eleanor C. Stokes, Ranjay Shrestha, Zhuosen Wang, Lori Schultz, Edil A. Sepulveda Carlo, Qingsong Sun, Jordan Bell, Andrew Molthan, Virginia Kalb, Chuanyi Ji, Karen C. Seto, Shanna N. McClain, Markus Enenkel
Article
Meteorology & Atmospheric Sciences
Yi Wang, Ping Yang, Souichiro Hioki, Michael D. King, Bryan A. Baum, Larry Di Girolamo, Dongwei Fu
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2019)
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Optics
Jiachen Ding, Ping Yang, Michael D. King, Steven Platnick, Xu Liu, Kerry G. Meyer, Chenxi Wang
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2019)
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Environmental Sciences
Peter Brehm Boucher, Steven Hancock, David A. Orwig, Laura Duncanson, John Armston, Hao Tang, Keith Krause, Bruce Cook, Ian Paynter, Zhan Li, Arthur Elmes, Crystal Schaaf
Article
Environmental Sciences
Yi Wang, Ping Yang, Michael D. King, Bryan A. Baum
Summary: An improved remote sensing technique is proposed in this study to infer an optimal model for ice particles in cirrus clouds using multi-angle polarimetric measurements at 865 nm. The hexagonal column aggregate model works well for most pixels in this proof-of-concept study, but the retrieval cost function is high when large zenith angles are included. Further studies are needed to better understand the selected ice particle models at scattering angles smaller than 100 degrees.
Article
Multidisciplinary Sciences
Gary E. Machlis, Miguel O. Roman, Steward T. A. Pickett
Summary: Disaster science studies the causes, behaviors, and consequences of hazardous events, with a focus on recurrent acute disasters (RADs) that affect specific locales. The understanding of RADs varies and lacks predictive power. A theoretical framework borrowing from mathematical topology and disturbance ecology is proposed to explain RADs, and Puerto Rico's disasters from 2017-2020 are used as a case study to validate the framework.
Article
Meteorology & Atmospheric Sciences
Jianglong Zhang, Jeffrey S. Reid, Steven D. Miller, Miguel Roman, Zhuosen Wang, Robert J. D. Spurr, Shawn Jaker
Summary: This study adapted the SHDOM 3-D radiative transfer model to simulate nighttime TOA radiances observed by VIIRS-DNB. The study examined the impact of observing conditions and aerosol properties on the simulated radiances and investigated the potential for aerosol retrievals using observed radiances containing VIIRS-DNB bright pixels from artificial light sources. The study demonstrated the feasibility of retrieving nighttime AODs using the 3-D RTM SHDOM over artificial light sources.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Hong Chen, Sebastian Schmidt, Michael D. King, Galina Wind, Anthony Bucholtz, Elizabeth A. Reid, Michal Segal-Rozenhaimer, William L. Smith, Patrick C. Taylor, Seiji Kato, Peter Pilewskie
Summary: The study evaluates irradiance calculated from MODIS-derived cloud properties in the Arctic and finds that the primary error is due to undetected thin clouds rather than retrieved cloud properties. The spectral surface albedo derived from airborne radiometers aligns with prior measurements and adequately represents surface variability. Passive imagery has the potential to accurately predict shortwave irradiances with improved thin cloud detection.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2021)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)